Estimating direction of arrival for coherent signals by using projection subspace without source number information

Ya Ling Chen; Chien Chou Lin

doi:10.1109/ICAMSE.2016.7840217

Estimating direction of arrival for coherent signals by using projection subspace without source number information

Ya Ling Chen
, Chien Chou Lin

General Education Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Appropriate subspace projection enhances the characteristics of the desired signal power and reduces the interference effect. This paper proposes an algorithm that uses projection subspace to estimate the direction of arrival (DOA) for coherent signals without signal source number information. First, the joint diagonalization structure of a set of Toeplitz matrices constructed from the covariance matrix of the received data is used to estimate the DOA of coherent signal sources and determine the number of signal sources. Next, the projection weights of steering vectors on signal subspaces were replaced with their revised steering vectors, and the spatial spectrum function was reconstructed using both noise and signal subspaces. The spatial spectral peaks were scanned to estimate the angle of arrival of the signals. High-resolution DOA estimations were thus obtained. Finally, computer simulations illustrated the performance of the proposed method and validated the designed procedure.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering
Subtitle of host publication	Innovation, Science and Engineering, IEEE-ICAMSE 2016
Editors	Teen-Hang Meen, Stephen D. Prior, Artde Donald Kin-Tak Lam
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	9-12
Number of pages	4
ISBN (Electronic)	9781509038695
DOIs	https://doi.org/10.1109/ICAMSE.2016.7840217
State	Published - 2 Feb 2017
Event	2016 IEEE International Conference on Advanced Materials for Science and Engineering, IEEE-ICAMSE 2016 - Tainan, Taiwan Duration: 12 Nov 2016 → 13 Nov 2016

Publication series

Name	Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016

Conference

Conference	2016 IEEE International Conference on Advanced Materials for Science and Engineering, IEEE-ICAMSE 2016
Country/Territory	Taiwan
City	Tainan
Period	12/11/16 → 13/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Toeplitz matrix
beamspace
direction of arrival (DOA)
multiple signal classification (MUSIC)
projection subspace

Access to Document

10.1109/ICAMSE.2016.7840217

Cite this

Chen, Y. L., & Lin, C. C. (2017). Estimating direction of arrival for coherent signals by using projection subspace without source number information. In T.-H. Meen, S. D. Prior, & A. D. K.-T. Lam (Eds.), Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016 (pp. 9-12). Article 7840217 (Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAMSE.2016.7840217

Chen, Ya Ling ; Lin, Chien Chou. / Estimating direction of arrival for coherent signals by using projection subspace without source number information. Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016. editor / Teen-Hang Meen ; Stephen D. Prior ; Artde Donald Kin-Tak Lam. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 9-12 (Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016).

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abstract = "Appropriate subspace projection enhances the characteristics of the desired signal power and reduces the interference effect. This paper proposes an algorithm that uses projection subspace to estimate the direction of arrival (DOA) for coherent signals without signal source number information. First, the joint diagonalization structure of a set of Toeplitz matrices constructed from the covariance matrix of the received data is used to estimate the DOA of coherent signal sources and determine the number of signal sources. Next, the projection weights of steering vectors on signal subspaces were replaced with their revised steering vectors, and the spatial spectrum function was reconstructed using both noise and signal subspaces. The spatial spectral peaks were scanned to estimate the angle of arrival of the signals. High-resolution DOA estimations were thus obtained. Finally, computer simulations illustrated the performance of the proposed method and validated the designed procedure.",

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note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Advanced Materials for Science and Engineering, IEEE-ICAMSE 2016 ; Conference date: 12-11-2016 Through 13-11-2016",

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Chen, YL & Lin, CC 2017, Estimating direction of arrival for coherent signals by using projection subspace without source number information. in T-H Meen, SD Prior & ADK-T Lam (eds), Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016., 7840217, Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 9-12, 2016 IEEE International Conference on Advanced Materials for Science and Engineering, IEEE-ICAMSE 2016, Tainan, Taiwan, 12/11/16. https://doi.org/10.1109/ICAMSE.2016.7840217

Estimating direction of arrival for coherent signals by using projection subspace without source number information. / Chen, Ya Ling; Lin, Chien Chou.
Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016. ed. / Teen-Hang Meen; Stephen D. Prior; Artde Donald Kin-Tak Lam. Institute of Electrical and Electronics Engineers Inc., 2017. p. 9-12 7840217 (Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lin, Chien Chou

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N2 - Appropriate subspace projection enhances the characteristics of the desired signal power and reduces the interference effect. This paper proposes an algorithm that uses projection subspace to estimate the direction of arrival (DOA) for coherent signals without signal source number information. First, the joint diagonalization structure of a set of Toeplitz matrices constructed from the covariance matrix of the received data is used to estimate the DOA of coherent signal sources and determine the number of signal sources. Next, the projection weights of steering vectors on signal subspaces were replaced with their revised steering vectors, and the spatial spectrum function was reconstructed using both noise and signal subspaces. The spatial spectral peaks were scanned to estimate the angle of arrival of the signals. High-resolution DOA estimations were thus obtained. Finally, computer simulations illustrated the performance of the proposed method and validated the designed procedure.

AB - Appropriate subspace projection enhances the characteristics of the desired signal power and reduces the interference effect. This paper proposes an algorithm that uses projection subspace to estimate the direction of arrival (DOA) for coherent signals without signal source number information. First, the joint diagonalization structure of a set of Toeplitz matrices constructed from the covariance matrix of the received data is used to estimate the DOA of coherent signal sources and determine the number of signal sources. Next, the projection weights of steering vectors on signal subspaces were replaced with their revised steering vectors, and the spatial spectrum function was reconstructed using both noise and signal subspaces. The spatial spectral peaks were scanned to estimate the angle of arrival of the signals. High-resolution DOA estimations were thus obtained. Finally, computer simulations illustrated the performance of the proposed method and validated the designed procedure.

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ER -

Chen YL, Lin CC. Estimating direction of arrival for coherent signals by using projection subspace without source number information. In Meen TH, Prior SD, Lam ADKT, editors, Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 9-12. 7840217. (Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering: Innovation, Science and Engineering, IEEE-ICAMSE 2016). doi: 10.1109/ICAMSE.2016.7840217

Estimating direction of arrival for coherent signals by using projection subspace without source number information

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Keywords

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